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智能交通系统中车牌定位算法
引用本文:杨超,杨鼎才.智能交通系统中车牌定位算法[J].电子测量技术,2007,30(12):52-56.
作者姓名:杨超  杨鼎才
作者单位:燕山大学信息科学与工程学院,秦皇岛,066004
摘    要:对于智能交通系统(俗称"电子警察")来说,车牌自动识别技术是其中最核心最重要的技术,而从获取的汽车图像中定位车牌区域又是进行车牌识别的先决条件和关键步骤.本文对车牌定位算法进行了较为完整的阐述:首先,根据车辆牌照的自身特点,利用图像处理技术对初始图像进行预处理;然后,采用模糊模板匹配算法对车牌区域进行定位;最后,对发生倾斜的车牌图像使用改进的Hough变换算法进行校正.实验结果表明,该算法可以准确的定位车牌图像,使车牌区域较完整的显现出来.

关 键 词:车牌定位  模板匹配  Hough变换

License plate location algorithm in the intelligent transportation system
Yang Chao,Yang Dingcai.License plate location algorithm in the intelligent transportation system[J].Electronic Measurement Technology,2007,30(12):52-56.
Authors:Yang Chao  Yang Dingcai
Abstract:In the Intelligent Transportation System which is called electronic police,license plate recognition technology is the most important and central technology,and the process of license plate district location from the car image is a key process and a crucial condition in the license plate recognition.This paper perfectly explains license plate location algorithm:first,we use image process technology to deal with the initial image;second,we employ template matching algorithm to locate the district of license plate;finally,we use improved Hough transform algorithm to rectify the inclined license plate image.The experimental results demonstrate that using this method to locate license plate can get a high accuracy.The district of license plate can be perfectly presented.
Keywords:license plate location  template matching  Hough transform
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